Ablation Studies in Artificial Neural Networks

24 January 2019

Richard Meyes

Melanie Lu

Constantin Waubert de Puiseau

Tobias Meisen

ArXiv PDF HTML

Papers citing "Ablation Studies in Artificial Neural Networks"

21 / 21 papers shown

Title
Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp Eran Aizikovich D. Mimran Edita Grolman Yuval Elovici A. Shabtai 38 0 0 03 May 2025
Machine Learning Analysis of Anomalous Diffusion Wenjie Cai Yi Hu X. Qu Hui Zhao Gongyi Wang Jing Li Zihan Huang 74 1 0 02 Dec 2024
Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI José Antonio Siqueira de Cerqueira Mamia Agbese Rebekah Rousi Nannan Xi Juho Hamari Pekka Abrahamsson LLMAG 44 4 0 25 Oct 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer Rajat Saxena Bruce L. McNaughton CLL 59 2 0 12 May 2024
Foundational GPT Model for MEG Richard Csaky M. Es Oiwi Parker Jones M. Woolrich 40 2 0 14 Apr 2024
A survey on robustness in trajectory prediction for autonomous vehicles Jeroen Hagenus Frederik Baymler Mathiesen J. Schumann Arkady Zgonnikov 35 3 0 02 Feb 2024
Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models Zhengguang Wang 9 0 0 29 Jan 2024
Perceptual Musical Features for Interpretable Audio Tagging Vassilis Lyberatos Spyridon Kantarelis Edmund Dervakos Giorgos Stamou 32 5 0 18 Dec 2023
Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires Xiaojian Zhang Xilei Zhao Yiming Xu Ruggiero Lovreglio D. Nilsson 21 4 0 13 Apr 2023
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 28 26 0 30 Mar 2022
Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window Habib Ben Abdallah C. Henry S. Ramanna 36 2 0 04 Mar 2022
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 62 77 0 05 Aug 2021
Advances in Classifying the Stages of Diabetic Retinopathy Using Convolutional Neural Networks in Low Memory Edge Devices A. Paul 26 5 0 03 Jun 2021
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification Ce Zhang Young-Keun Kim A. Eskandarian 30 137 0 24 Jan 2021
Computational analysis of pathological image enables interpretable prediction for microsatellite instability Jin Zhu Wangwei Wu Yuting Zhang Shiyun Lin Yukang Jiang Rui-Feng Liu Xueqin Wang 23 10 0 07 Oct 2020
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning Vikash Gupta H. Roth Varun Buch M. Rockenbach Richard D. White ... B. Ghoshhajra I. Dayan Daguang Xu Mona G. Flores B. S. Erdal SyDa 22 2 0 25 Sep 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors Yi-Shan Lin Wen-Chuan Lee Z. Berkay Celik XAI 29 93 0 22 Sep 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents Richard Meyes Moritz Schneider Tobias Meisen 28 2 0 07 Apr 2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations Richard Meyes Constantin Waubert de Puiseau Andres Felipe Posada-Moreno Tobias Meisen AI4CE 30 21 0 02 Apr 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew L. Leavitt Ari S. Morcos 58 33 0 03 Mar 2020
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation Juan Miguel Valverde Artem Shatillo Riccardo De Feo O. Gröhn Alejandra Sierra Jussi Tohka MedIm 29 21 0 24 Jan 2020